Frontiers in Oncology | Cancer Imaging and Image-directed Interventions

Original Research

Published on 22 Jul 2025

Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma

in Cancer Imaging and Image-directed Interventions

Linyan Chen
Yang Li
Zhiyuan Zhang
Tongshu Yang
Hao Zeng

Frontiers in Oncology

doi 10.3389/fonc.2025.1591165

2,169 views
1 citation

Original Research

Published on 21 Jul 2025

Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression

in Cancer Imaging and Image-directed Interventions

Wenfeng Feng
Runlong Lin
Wenzhe Zhao
Haifeng Cai
Jingwu Li
Yongliang Liu
Lixiu Cao

Frontiers in Oncology

doi 10.3389/fonc.2025.1590710

1,236 views

Original Research

Published on 18 Jul 2025

SMF-net: semantic-guided multimodal fusion network for precise pancreatic tumor segmentation in medical CT image

in Cancer Imaging and Image-directed Interventions

Wenyi Zhou
Ziyang Shi
Bin Xie
Fang Li
Jiehao Yin
Yongzhong Zhang
Linan Hu
Lin Li
Yongming Yan
Xiajun Wei

Frontiers in Oncology

doi 10.3389/fonc.2025.1622426

2,839 views

Original Research

Published on 18 Jul 2025

Multi-model radiomics and machine learning for differentiating lipid-poor adrenal adenomas from metastases using automatic segmentation

in Cancer Imaging and Image-directed Interventions

Shengnan Yin
Ning Ding
Shaocai Wang
Mengjuan Li
Yichi Zhang
Jiacheng Shen
Haitao Hu
Yiding Ji
Long Jin

Frontiers in Oncology

doi 10.3389/fonc.2025.1619341

1,714 views
2 citations

Original Research

Published on 17 Jul 2025

Percutaneous transhepatic recanalization of occluded prosthetic graft after pancreatoduodenectomy with venous reconstruction for pancreatic cancer

in Cancer Imaging and Image-directed Interventions

Nils Degrauwe
Didier Roulin
Vincent Dunet
Nermin Halkic
Nicolas Demartines
Antonia Digklia
Nicolas Villard
Alban Denys
Georgia Tsoumakidou
Rafael Duran

Frontiers in Oncology

doi 10.3389/fonc.2025.1575481

1,356 views

Original Research

Published on 17 Jul 2025

Differentiation of AFP-negative hepatocellular carcinoma from other intrahepatic malignant lesions by a noninvasive predictive model based on Sonazoid contrast-enhanced ultrasound

in Cancer Imaging and Image-directed Interventions

Qian Zhang
Zhilong Liu
Ruining Wang
Lele Song
Wenwen Fan
Ping Liang
Liping Liu

Frontiers in Oncology

doi 10.3389/fonc.2025.1623670

1,830 views

Original Research

Published on 14 Jul 2025

Explainable multi-view transformer framework with mutual learning for precision breast cancer pathology image classification

in Cancer Imaging and Image-directed Interventions

Haewon Byeon
Mahmood Alsaadi
Richa Vijay
Purshottam J. Assudani
Ashit Kumar Dutta
Monika Bansal
Pavitar Parkash Singh
Mukesh Soni
Mohammed Wasim Bhatt

Frontiers in Oncology

doi 10.3389/fonc.2025.1626785

2,008 views
2 citations

Original Research

Published on 11 Jul 2025

Ultrasound-based radiomics combined with B3GALT4 level to predict sentinel lymph node metastasis in primary breast cancer

in Cancer Imaging and Image-directed Interventions

Yongliang Sha
Song Ge
Yiqiu Wang
Shilong Cai
Chengyi Wang
Huijie Zhuang
Jin Shi
Shiqing He
Xia Sun
Li Ma

Frontiers in Oncology

doi 10.3389/fonc.2025.1570493

1,803 views
2 citations

Original Research

Published on 11 Jul 2025

Baseline MRI habitat imaging for predicting treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer

in Cancer Imaging and Image-directed Interventions

Muzhen He
Huijian Chen
Chao Xu
Zhibo Wu
Zijie Lin
Yang Song
Guang Yang
Mingping Ma
Fangqin Xue

Frontiers in Oncology

doi 10.3389/fonc.2025.1551224

1,983 views

Original Research

Published on 10 Jul 2025

UnetTransCNN: integrating transformers with convolutional neural networks for enhanced medical image segmentation

in Cancer Imaging and Image-directed Interventions

Yi-Hang Xie
Bo-Song Huang
Fan Li

Frontiers in Oncology

doi 10.3389/fonc.2025.1467672

4,261 views
6 citations

Original Research

Published on 09 Jul 2025

Supervised contrastive loss helps uncover more robust features for photoacoustic prostate cancer identification

in Cancer Imaging and Image-directed Interventions

Yingna Chen
Feifan Li
Zhuoheng Dai
Ying Liu
Shengsong Huang
Qian Cheng

Frontiers in Oncology

doi 10.3389/fonc.2025.1592815

1,567 views

Original Research

Published on 04 Jul 2025

A nomogram model integrating radiomics and clinical variables to predict napsin a expression in lung adenocarcinoma patients

in Cancer Imaging and Image-directed Interventions

Bo Pang
LiNa Liu
Man Gao
ChongHai Xu
Zhaisong Gao
ZhiChao Wang
JianZhong Guan

Frontiers in Oncology

doi 10.3389/fonc.2025.1595406

1,329 views

Original Research

Published on 04 Jul 2025

PI-RADSv2.1 combined with PSA density for optimizing prostate biopsy decisions: a retrospective analysis

in Cancer Imaging and Image-directed Interventions

Yuchun Li
Siran Wang
Jianqiu Wang
Xin Qi
Tianran Liu
Xiaodong He
Yu Zhang
Yi Zhu
Yunfu Zeng

Frontiers in Oncology

doi 10.3389/fonc.2025.1602412

2,455 views
2 citations

Original Research

Published on 03 Jul 2025

Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors

in Cancer Imaging and Image-directed Interventions

Fan Yang
Chun-wei Liu
Dai Zhang
Hai-Ling Wang
Xi Wei
Mo Yang

Frontiers in Oncology

doi 10.3389/fonc.2025.1590432

1,889 views

Original Research

Published on 30 Jun 2025

Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models

in Cancer Imaging and Image-directed Interventions

Yalei Wang
Yuqing Xin
Baoqi Zhang
Fuqiang Pan
Xu Li
Manman Zhang
Yushan Yuan
Lei Zhang
Peiqi Ma
Bo Guan

Frontiers in Oncology

doi 10.3389/fonc.2025.1539537

2,411 views
1 citation

Original Research

Published on 27 Jun 2025

Prostate cancer classification using 3D deep learning and ultrasound video clips: a multicenter study

in Cancer Imaging and Image-directed Interventions

Wenjie Lou
Peizhe Chen
Chengyi Wu
Qinghua Liu
Lingyan Zhou
Maoliang Zhang
Jing Tu
Zhengbiao Hu
Cheng Lv
Jie Yang

Frontiers in Oncology

doi 10.3389/fonc.2025.1582035

2,324 views
1 citation

Original Research

Published on 25 Jun 2025

Diagnostic value of CT radiomics and clinical features in differentiating focal organizing pneumonia from peripheral lung cancer

in Cancer Imaging and Image-directed Interventions

Weihua Tang
Huadong Chen
Peijun Liu
Yunxuan Zhang

Frontiers in Oncology

doi 10.3389/fonc.2025.1620217

1,694 views

Original Research

Published on 19 Jun 2025

DynTransNet: Dynamic Transformer Network with multi-scale attention for liver cancer segmentation

in Cancer Imaging and Image-directed Interventions

Siming Zheng
A. S. M. Sharifuzzaman Sagar
Yu Chen
Zehao Yu
Shi Ying
Yongyi Zeng

Frontiers in Oncology

doi 10.3389/fonc.2025.1569083

1,937 views

Original Research

Published on 19 Jun 2025

Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model

in Cancer Imaging and Image-directed Interventions

Fang-Xiong Fu
Guo Li
Lan Hong
Wang-Sheng Chen

Frontiers in Oncology

doi 10.3389/fonc.2025.1592881

1,395 views

Original Research

Published on 19 Jun 2025

Radiomics models to predict axillary lymph node metastasis in breast cancer and analysis of the biological significance of radiomic features

in Cancer Imaging and Image-directed Interventions

Xinhua Li
Minping Hong
Zhendong Lu
Zilin Liu
Lifu Lin
Hongfa Xu

Frontiers in Oncology

doi 10.3389/fonc.2025.1546229

2,222 views
2 citations

Case Report

Published on 18 Jun 2025

Ewing’s sarcoma of the mediastinal extraosseous site: a case report of a rare occurrence with literature review

in Cancer Imaging and Image-directed Interventions

Hong Zhou
Meng Su
Han-Fang Wang
Si-Qi Feng
Wen-Qian Jiang
Xiao-Rong Li

Frontiers in Oncology

doi 10.3389/fonc.2025.1578456

1,658 views

Original Research

Published on 18 Jun 2025

Leveraging a foundation model zoo for cell similarity search in oncological microscopy across devices

in Cancer Imaging and Image-directed Interventions

Gabriel Kalweit
Anusha Klett
Paula Silvestrini
Jens Rahnfeld
Mehdi Naouar
Yannick Vogt
Diana Infante
Rebecca Berger
Jesús Duque-Afonso
Tanja Nicole Hartmann

Frontiers in Oncology

doi 10.3389/fonc.2025.1480384

3,091 views
2 citations

Case Report

Published on 17 Jun 2025

Case Report: A case of femoral metastatic cancer misdiagnosed as isolated femoral lesser trochanter avulsion fracture

in Cancer Imaging and Image-directed Interventions

Meng-qi Pang
Feng-ze Wu
Jia-yan Chen
Rang-teng Zhu
Gang Jin
Wei-jie Gong
Han-tao Jiang

Frontiers in Oncology

doi 10.3389/fonc.2025.1565771

1,666 views

Correction

Published on 11 Jun 2025

Correction: MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures

in Cancer Imaging and Image-directed Interventions

Wenhua Liang
Hong Yu
Lisha Duan
Xiaona Li
Ming Wang
Bing Wang
Jianling Cui

Frontiers in Oncology

doi 10.3389/fonc.2025.1632503

1,028 views

2,189 articles

articles

Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma

Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression

SMF-net: semantic-guided multimodal fusion network for precise pancreatic tumor segmentation in medical CT image

Multi-model radiomics and machine learning for differentiating lipid-poor adrenal adenomas from metastases using automatic segmentation

Percutaneous transhepatic recanalization of occluded prosthetic graft after pancreatoduodenectomy with venous reconstruction for pancreatic cancer

Differentiation of AFP-negative hepatocellular carcinoma from other intrahepatic malignant lesions by a noninvasive predictive model based on Sonazoid contrast-enhanced ultrasound

Explainable multi-view transformer framework with mutual learning for precision breast cancer pathology image classification

Ultrasound-based radiomics combined with B3GALT4 level to predict sentinel lymph node metastasis in primary breast cancer

Baseline MRI habitat imaging for predicting treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer

UnetTransCNN: integrating transformers with convolutional neural networks for enhanced medical image segmentation

Supervised contrastive loss helps uncover more robust features for photoacoustic prostate cancer identification

A nomogram model integrating radiomics and clinical variables to predict napsin a expression in lung adenocarcinoma patients

PI-RADSv2.1 combined with PSA density for optimizing prostate biopsy decisions: a retrospective analysis

Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors

Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models

Prostate cancer classification using 3D deep learning and ultrasound video clips: a multicenter study

Diagnostic value of CT radiomics and clinical features in differentiating focal organizing pneumonia from peripheral lung cancer

DynTransNet: Dynamic Transformer Network with multi-scale attention for liver cancer segmentation

Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model

Radiomics models to predict axillary lymph node metastasis in breast cancer and analysis of the biological significance of radiomic features

Ewing’s sarcoma of the mediastinal extraosseous site: a case report of a rare occurrence with literature review

Leveraging a foundation model zoo for cell similarity search in oncological microscopy across devices

Case Report: A case of femoral metastatic cancer misdiagnosed as isolated femoral lesser trochanter avulsion fracture

Correction: MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures